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Record W3008070291 · doi:10.37445/adiu.2018.01.20

COMPARATIVE ANALYSIS OF AGRICULTURE ON THE EVE OF THE FORMATION OF OLD RUS’

2018· article· en· W3008070291 on OpenAlexaboutno aff
S. A. Gorbanenko

Bibliographic record

VenueArchaeology and Early History of Ukraine · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicAncient and Medieval Archaeology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAgricultureResource (disambiguation)GeographySettlement (finance)LivestockArchaeologyQuarter (Canadian coin)ForestryBusiness

Abstract

fetched live from OpenAlex

The article is a definite result of the study of agriculture of archeological cultures of the last quarter of the 1st millennium AD in the south of Eastern Europe, which became the basis for the formation of Old Rus’ material culture. The object of the study are archeological cultures, which were the basis and / or the place for the emergence of the Old Rus’ culture. They are the Borshevo culture on the Don, the Saltiv culture (mainly based on the materials of the Siversky-Donetsk region), the Volintseve and Romny sites (the left bank of the Dnieper), as well as the Raiky culture (the territory between the Dnieper and the Carpathians) (Fig. 1). The subject of the study are the components of agriculture (farming and livestock breeding) in these cultures.
 Nowadays the degree of research of these sectors allows us to conduct their comparative analysis and to determine the vectors of influences. The analysis of potential resource zones shows that ancient settlers at the time of settlement probably did not attach much importance to the surrounding lands, and gradually adapted them to their needs. According to the results of the analysis of the location of the Saltiv and Romny sites in the Siverskyi-Donetsk region contact area, we can say that the bearers of the Romny culture came to the resource zones already absorbed by the Saltiv people. Above all, this concerns the use of the land for agricultural purposes. We can offer a similar situation for bearers of the Raiky culture, which often continued to use the resource areas assimilated by their predecessors — the Prague culture bearers.
 Comparative analysis of agricultural implements (Fig. 2; 3) shows that the Saltiv culture bearers had a negligible positive influence on the spread of certain forms of tools of agricultural labor. Biological definitions and palaeoethnobotanical and archaeozoological analyzes (Fig. 4—6) are more likely to show insignificant differences in environmental conditions, as well as, possibly, in the ethnicity of ancient farmers. No influences of one culture on another were found on these materials. Probably, meat production among the population of the Saltiv culture has acquired certain forms of specialization because only in this culture such specific tools as cutting knives are known now (Fig. 7).
 The overall result may be the following. Among the comparable cultures, both branches of agriculture were the most developed among the bearers of the Saltiv culture. They had some influence on the development of agriculture among their neighbors — the Siverians and the Slavs on the Don. However, in all these cultures, the level of development of agriculture was approximately the same. It is not possible to take certain differences in livestock production for criteria of greater or lesser degree of development, since livestock production reflects most likely the ecological differences of settlements and the ethnic difference of settlers.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.728
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.009
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.039
GPT teacher head0.226
Teacher spread0.187 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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